Human Computer Interfacing through Automatic Document Image Analysis

Abstract

Automatic document verification by machine has been a goal of research. However designing an intelligent machine that can work on automatic logo based document verification and classification. newlineAutomatic Document verification is important task which is done in various Government department and organization, like register office, school, college, University, government departments, business documents etc. The main purpose of document verification is to identify the reality and originality of the document submitted by the candidate. It helps the organization for different purpose like getting admission or Job for candidate verification. Now a day some of the duplicate documents have been submitted by the candidate for admission purpose or job purpose, such documents should be properly sorted depending on logo base and such document should be sent towards that specific university for further verification. The document is automatically classified by organization wise for further simplification. Manually document verification is very difficult task when huge applications are submitted by different region candidate. Research topic is to investigate the current techniques to Extract Logo from document images for analysis and recognition. The main objective of this research is to perform Logo extraction using accurate technique for document image analysis and recognition. This subject of Logo segmentation is used in different areas such as inspection, medical image processing, documents processing and remote sensing and performing algorithm programming. Techniques are used in this field can be reused in other applications. Our work is related to Logo extraction of document images, to study some technique and methods that are used to extract Logo from images. Human eyes can easily recognize Logo by observing it but it is very difficult to define. This difficulty is demonstrated by the number of different computer vision researchers. newlineAutomatic document image processing is challenging task. In this research it uses own datab